#训练oicr
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/PascalVOC-Detection/oicr_V_16_DC5_1x.yaml OUTPUT_DIR output/oicr_V_16_DC5_VOC07_`date +'%Y-%m-%d_%H-%M-%S'`

# #测试oicr
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --config-file projects/WSL/configs/PascalVOC-Detection/oicr_V_16_DC5_1x.yaml --eval-only MODEL.WEIGHTS output/oicr_V_16_DC5_VOC07_2021-10-22_03-46-07/model_0049999.pth

#注意resume要在OUTPUT_DIR前面，中断之后接着训练
#训练wsddn
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/PascalVOC-Detection/wsddn_V_16_DC5_1x.yaml --resume OUTPUT_DIR output/wsddn_V_16_DC5_VOC07_2021-11-01_13-10-31 

#测试wsddn
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/PascalVOC-Detection/wsddn_V_16_DC5_1x.yaml --eval-only MODEL.WEIGHTS output/wsddn_V_16_DC5_VOC07_2021-11-01_13-10-31/model_0009999.pth

#用oicr训练nwpu
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/oicr_V_16.yaml 
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/oicr_V_16_DC5_3x.yaml 

#用oicr测试nwpu
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --config-file output/NWPU_oicr_V_16_DC5_3x/config.yaml --eval-only MODEL.WEIGHTS output/NWPU_oicr_V_16_DC5_3x/model_final.pth

#用wsddn训练nwpu
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/wsddn_V_16_DC5_3x.yaml 

#用wsddn测试nwpu
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --config-file projects/WSL/configs/NWPU-Detection/wsddn_V_16_DC5_1x.yaml --eval-only MODEL.WEIGHTS output/NWPU_wsddn_V_16_b4/model_0019999.pth

#用pcl训练nwpu
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/pcl_V_16_DC5_3x.yaml 

#用oicr训练dior
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/DIOR-Detection/oicr_V_16_DC5_1x.yaml 

#(测试用)用oicr训练dior
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/DIOR-Detection/oicr_V_16.yaml  --resume OUTPUT_DIR output/DIOR_oicr_V_16_test

#用oicr测试dior
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --config-file projects/WSL/configs/DIOR-Detection/oicr_V_16_DC5_1x.yaml --eval-only MODEL.WEIGHTS output/oicr_V_16_DC5_DIOR_2021-10-25_11-49-54/model_0049999.pth


#用wsddn训练dior
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/DIOR-Detection/wsddn_V_16_DC5.yaml 

#用pcl训练dior
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/DIOR-Detection/pcl_V_16_DC5_1x.yaml 

#用pcl训练hrrsd
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/HRRSD-Detection/pcl_V_16_DC5_1x.yaml 


#用uwsod训练nwpu
# CUDA_VISIBLE_DEVICES=0 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/uwsod_V_16_DC5_3x.yaml 

#用contextlocnet训练nwpu
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/contextlocnet_V_16_DC5_3x.yaml 

#用csc训练nwpu
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/csc_V_16_DC5_3x.yaml 

#用cmil训练nwpu
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/cmil_V_16_DC5_3x.yaml 


#用faster rcnn训练nwpu
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/frcnn_R_50_DC_3x.yaml #自己的网络

#用lnq训练NWPU
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/NWPU-Detection/lnq_V_16_DC5_3x.yaml

#用lnq测试NWPU
# CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --config-file projects/WSL/configs/NWPU-Detection/lnq_V_16_DC5_3x.yaml --eval-only MODEL.WEIGHTS output/NWPU_lnq_pcl_V_16_DC5_3x/model_final.pth

#用lnq训练DIOR
CUDA_VISIBLE_DEVICES=1 python3 projects/WSL/tools/train_net.py --num-gpus 1 --config-file projects/WSL/configs/DIOR-Detection/lnq_V_16_DC5_1x.yaml --resume OUTPUT_DIR output/DIOR_oicr_V_16_DC5_1x